At a Glance
- Tasks: Leverage machine learning to revolutionise the insurance claims process and deliver impactful solutions.
- Company: Join Prima, a leading online motor insurance provider with a collaborative culture.
- Benefits: Enjoy flexible working, private healthcare, gym discounts, and tailored growth plans.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in shaping the future of motor insurance with cutting-edge technology.
- Qualifications: Strong software engineering skills, Python experience, and a passion for machine learning.
The predicted salary is between 70000 - 105000 £ per year.
Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.
The team mission is to exploit the power of machine learning to revolutionize the insurance claims process. To help fuel that growth, we need a Software Engineer to join our Claims Machine Learning team.
What you’ll do:
- Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform.
- Analyze and interpret complex data to support the claims management lifecycle.
- Contribute directly to the company’s growth and long-term success through actionable insights.
- Collaborate with cross-functional teams to transform data into intelligence and intelligence into action.
What we’re looking for:
- Software Engineer First: You’re a strong software engineer at heart: you write clean, maintainable, and production-ready code. While you're comfortable handling data, generating insights, and training machine learning models, you approach these tasks with a software engineering mindset, prioritizing scalability, reliability, and performance.
- Analytical Prowess: Strong quantitative, logical, and analytical skills are essential. At Prima, you'll tackle diverse and stimulating challenges that will put your skills to the test.
- Strong Python background with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face and GenAI.
- Proficient with RDBMS (Postgres).
- Broad ML Knowledge: You have a solid grasp of various machine learning paradigms: from classical models to cutting-edge approaches like deep learning, computer vision, and generative AI. You know when and how to apply the right technique to solve real-world problems effectively.
Nice-to-Have:
- Have international experience and fluency in English.
- Know how to create, manipulate and analyze large datasets.
- Background in developing applications using Elixir/Rust.
- Experience working in a Cloud-based environment (AWS preferred) is a plus.
£70,000 - £105,000 a year
Why you’ll love it here:
- Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
- Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
- Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now. At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives. Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at [email protected]. Let’s build the future of insurance, together.
Software / Machine Learning Engineer in London employer: Prima
At Prima, we pride ourselves on being an innovative and flexible employer, offering our Software Engineers the opportunity to work in a dynamic environment that values collaboration and continuous learning. With access to tailored growth plans, mentorship, and a commitment to employee wellbeing through private healthcare and wellness programs, we ensure that our team members thrive both personally and professionally. Join us in shaping the future of motor insurance while enjoying the flexibility to work from home or anywhere for up to 30 days a year.
StudySmarter Expert Advice🤫
We think this is how you could land Software / Machine Learning Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Prima or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Prima.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Prima.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Prima that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software / Machine Learning Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Prima.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Prima and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Prima
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Prima uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
